Nim Talk
The next NEO Internal Meeting will take place on Wednesday 6 February, 14h30. Maximilien will give us a talk with title: “Asymptotically exact recovery in semi-supervised graph clustering”.
Category: Seminars
NIM Talk
The next NEO Internal Meeting (NIM) will take place on Wednesday 23 January, 14h30. Eitan Altman will make a presentation on “Games with correlated constraints and the notion of normalized equilibrium”.
NIM Talk
The next NIM will take place on Wednesday 9 January, 14h30. Chuan Xu will give us a talk titled: “Data collection in population protocols”.
Thesis defense
Said Boularouk defended his PhD thesis in Avignon on December 6th, 2018. The title is: “Système d’Information Géographique Vocal pour la Mobilité des Personnes Malvoyantes”.
NIM Talk
The NIM (Neo Internal Meeting) of Wednesday 24 October, 14h30, will feature a talk by Mandar Datar with title: “Stochastic Approximation and User Adaption in Priority Queuing Systems”.
NIM Talk
The NIM (Neo Internal Meeting) of Wednesday 3 October, 14h30, will feature a talk by Nicolas Allegra, with title: “Large-scale behaviors of consensus algorithms: ideas from physics”.
NIM Talk
The next NEO Internal Meeting (NIM) will take place on Wednesday 23 January, 14h30. Eitan Altman will make a presentation on “Games with correlated constraints and the notion of normalized equilibrium”.
NIM Talk
The next NIM will take place on Wednesday 9 January, 14h30. Chuan Xu will give us a talk titled: “Data collection in population protocols”.
Thesis defense
Said Boularouk defended his PhD thesis in Avignon on December 6th, 2018. The title is: “Système d’Information Géographique Vocal pour la Mobilité des Personnes Malvoyantes”.
NIM Talk
The NIM (Neo Internal Meeting) of Wednesday 24 October, 14h30, will feature a talk by Mandar Datar with title: “Stochastic Approximation and User Adaption in Priority Queuing Systems”.
NIM Talk
The NIM (Neo Internal Meeting) of Wednesday 3 October, 14h30, will feature a talk by Nicolas Allegra, with title: “Large-scale behaviors of consensus algorithms: ideas from physics”.
